File size: 3,060 Bytes
96458ff bc5af94 96458ff bc5af94 96458ff bc5af94 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 | # UAV-GeoLoc
This repo contains the large-vocabulary datasets for our paper *UAV-GeoLoc: A Large-vocabulary Dataset and Geometry-Transformed
Method for UAV Geo-Localization*. Given a top-down UAV image, retrieve a corresponding satellite image patch to infer the UAV's location.
## 📦 Usage && Dataset Structure
### ⬇️ Download Instructions
You need to download all parts of a category (e.g., all `Country.zip.00X` files) **before extraction**.
#### 1. Clone the repository with Git LFS enabled:
```bash
git lfs install
git clone https://huggingface.co/datasets/RingoWRW97/UAV-GeoLoc
```
#### 2.combine and extract the files
```bash
# For Country
cat Country.zip.* > Country.zip
unzip Country.zip
# For Terrain
cat Terrain.zip.* > Terrain.zip
unzip Terrain.zip
# For Rot
unzip Rot.zip
```
### 🖼️ Dataset Structure
Each folder under Country or Terrain (e.g., USA, Italy, Japan, etc.) contains *N* scenes for that region. Each scene is structured as follows:
Country/
├── Australia/
├────City(Sydney)
├──────Region
├──────── DB / (Satellite Map)
├──────── query / (24 dir,including height 100:150:25, heading 0:360:45)
├──────── semi_positive.json
├──────── positive.json
├── Brazil/
├── USA/
└── ...
### 🗂️ Index.zip (Train/Val/Test Splits)
The dataset includes a compressed file `Index.zip` that contains various .txt files used to define training, validation, and test splits across different components of the dataset.
After extracting `Index.zip`, the structure looks like:
Index/
├── train.txt
├── train_all.txt
├── train_country.txt
├── train_db.txt
├── train_db_all.txt
├── train_db_country.txt
├── train_query.txt
├── train_query_all.txt
├── train_query_country.txt
├── train_query_test.txt
├── val.txt
├── val_all.txt
├── val_country.txt
├── val_db.txt
├── val_db_country.txt
├── val_query.txt
├── val_query_country.txt
├── test.txt
├── test_all.txt
├── test_country.txt
├── test_db.txt
├── test_query.txt
Each file defines a specific subset of the dataset used for:
- `*_query.txt`: UAV query images
- `*_db.txt`: Reference DB images
- `*_country.txt`: only train on `country` class
- `*.txt`: only train on `terrain` class
- `*_all.txt`: Union of all images in a given category
## 📸 Result on Rot
‘Fire’ denotes results trained on our proposed dataset. ‘Box’ indicates that the model is trained with the LPN method.
## 📄 License
This dataset is licensed under the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).
Any modification of the dataset is strictly prohibited. The imagery was collected using Google Earth Studio, and appropriate attribution to Google must be provided in any derivative work or publication.
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